IBM Journey to AI blog

JUNE 8, 2023

Beyond the traditional data roles—data engineers, analysts, architects—decision-makers across an organization need flexible, self-service access to data-driven insights accelerated by artificial intelligence (AI). But most businesses are behind.

Business Intelligence 78

Business Intelligence Business Intelligence AI AI 78

Dataconomy

MARCH 28, 2025

Decision intelligence is revolutionizing how organizations approach decision-making by integrating advanced technologies like AI and machine learning with traditional decision theory. This innovative blend not only enhances insight generation but also helps businesses navigate increasingly complex environments.

Data Science 91

Data Science Machine Learning Machine Learning Business Intelligence 91

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. For analysis the way of Business Intelligence this normalized data model can already be used.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Dataconomy

APRIL 16, 2025

This modular approach allows businesses to assemble tools and techniques that perfectly fit their specific needs, rather than relying on less flexible monolithic systems. What is composable analytics? Analytics engines: Systems that process data and execute complex analyses, from basic queries to advanced algorithms.

Analytics 91

Analytics Analytics Data Analysis Data Analysis 91

Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

Dataconomy

MAY 26, 2025

Predictive modeling in business analytics Predictive modeling plays a critical role in business analytics by: Statistical scoring: Utilizing databases for real-time decision-making support. AI integration: Employing artificial intelligence for automation in response to unexpected events.

Analytics 91

Analytics Analytics Data Analysis Data Analysis 91

Data Science Dojo

SEPTEMBER 5, 2024

While data science leverages vast datasets to extract actionable insights, computer science forms the backbone of software development, cybersecurity, and artificial intelligence. Artificial Intelligence (AI) and Machine Learning : Develop models that can learn from data and make autonomous decisions.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Data Science Dojo

SEPTEMBER 5, 2024

While data science leverages vast datasets to extract actionable insights, computer science forms the backbone of software development, cybersecurity, and artificial intelligence. Artificial Intelligence (AI) and Machine Learning : Develop models that can learn from data and make autonomous decisions.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Dataconomy

MAY 17, 2023

Welcome to the exciting world of artificial intelligence in sales! In today’s rapidly evolving business landscape, organizations are increasingly turning to cutting-edge technologies to enhance their sales strategies and gain a competitive edge. How is artificial intelligence used in sales?

Artificial Intelligence 87

Artificial Intelligence Artificial Intelligence AI AI 87

Defined.ai blog

AUGUST 10, 2023

Welcome to the world of financial data, where every digit has a story to tell, and Artificial Intelligence (AI) assumes the role of a compelling storyteller. This post will guide you through what financial data is, how AI is transforming how we understand and use this data, and why this revolution matters to your business.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analysis Data Analysis 52

Dataconomy

JUNE 13, 2023

Decision intelligence is an innovative approach that blends the realms of data analysis, artificial intelligence, and human judgment to empower businesses with actionable insights. Think of decision intelligence as a synergy between the human mind and cutting-edge algorithms. What is decision intelligence?

Power BI 103

Power BI Data Analysis Data Analysis Artificial Intelligence 103

Dataconomy

FEBRUARY 24, 2023

As the world becomes increasingly digital, businesses are turning to technology to stay ahead of the competition. Data-driven decision making is becoming more critical than ever before, and two technologies that have captured the imagination of businesses worldwide are artificial intelligence (AI) and augmented intelligence (AU).

Artificial Intelligence 70

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 70

IBM Journey to AI blog

APRIL 1, 2024

Generative artificial intelligence (GenAI) can be a powerful tool for driving product innovation, if used in the right ways. Stacking strong data management, predictive analytics and GenAI is foundational to taking your product organization to the next level.

AI 95

AI AI Predictive Analytics Clustering 95

Dataconomy

FEBRUARY 6, 2024

Artificial intelligence and machine learning are no longer the elements of science fiction; they’re the realities of today. With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector.

ML 121

ML ML Machine Learning Machine Learning 121

IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Smart Data Collective

JUNE 8, 2023

many of our articles have centered around the role that data analytics and artificial intelligence has played in the financial sector. The Sports Analytics Market is expected to be worth over $22 billion by 2030. We have talked extensively about the many industries that have been impacted by big data.

Analytics 105

Analytics Analytics Data Analysis Data Analysis 105

Smart Data Collective

AUGUST 15, 2019

For example, Chime Bank used artificial intelligence to test 216 versions of its homepage in just three months. The human resources department is in a unique position to help curb those statistics and ensure the workforce is strategically aligned with the cost factors of a business. Indirect Costs.

Big Data 106

Big Data Big Data Predictive Analytics Artificial Intelligence 106

AWS Machine Learning Blog

SEPTEMBER 23, 2024

This post offers insights for businesses aiming to use artificial intelligence (AI) and cloud technologies to enhance customer service and streamline operations.

AWS 126

AWS Analytics Analytics AI 126

DataRobot

JULY 22, 2021

Using machine learning in conjunction with existing business intelligence solutions can give retailers and manufacturers a much more accurate and realistic insight into future demand, even in uncertain times. DataRobot provides retail- and manufacturing-specific forecasting for an imperfect and unpredictable business landscape.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

IBM Journey to AI blog

JULY 24, 2023

This has led to an increase in the importance of IT operations analytics (ITOA), the data-driven process by which organizations collect, store and analyze data produced by their IT services. Predictive analytics helps to optimize IT operations by intervening before an incident happens.

Analytics 69

Analytics Analytics Predictive Analytics Big Data 69

IBM Journey to AI blog

JUNE 29, 2023

Advanced analytics and business intelligence tools are utilized to analyze and interpret the data, uncovering insights and trends that drive informed decision-making. Implementing advanced analytics and business intelligence tools can further enhance data analysis and decision-making capabilities.

Analytics 94

Analytics Analytics Business Intelligence Business Intelligence 94

IBM Journey to AI blog

SEPTEMBER 6, 2023

A recent study by Price Waterhouse Cooper (PwC) estimates that by 2030, artificial intelligence (AI) will generate more than USD 15 trillion for the global economy and boost local economies by as much as 26%. (1) 1) But what about AI’s potential specifically in the field of marketing?

AI 96

AI AI Data Scientist Machine Learning 96

Pickl AI

SEPTEMBER 10, 2024

Introduction Artificial Intelligence (AI) is revolutionising how we use Excel, making data management faster and more efficient. AI in Excel integrates Artificial Intelligence tools and features into Microsoft Excel to enhance data processing, analysis, and decision-making. What is AI in Excel?

Power BI 52

Power BI Data Analysis Data Analysis AI 52

Pickl AI

NOVEMBER 18, 2024

Introduction Power BI has become one of the most popular business intelligence (BI) tools, offering powerful Data Visualisation, reporting, and decision-making features. billion by 2030 at a CAGR of 9.1% , businesses are increasingly seeking alternatives that may better suit their unique needs. billion to USD 54.27

Power BI 52

Power BI Tableau Data Analysis Data Analysis 52

Pickl AI

SEPTEMBER 3, 2024

Introduction Artificial Neural Network (ANNs) have emerged as a cornerstone of Artificial Intelligence and Machine Learning , revolutionising how computers process information and learn from data. They may employ neural networks to enhance predictive analytics and improve business outcomes.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 52

IBM Journey to AI blog

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. Request a live IBM watsonx.data demo today The post How OLAP and AI can enable better business appeared first on IBM Blog.

Data Preparation 72

Data Preparation Database Data Analysis Data Analysis 72

Pickl AI

MARCH 10, 2025

Summary: Power BI is a business intelligence tool that transforms raw data into actionable insights. Introduction Managing business and its key verticals can be challenging. Power BI is a powerful business intelligence tool that transforms raw data into actionable insights through interactive dashboards and reports.

Power BI 52

Power BI Business Intelligence Business Intelligence Analytics 52

Pickl AI

FEBRUARY 19, 2025

Here are some of the most essential elements of Data Science: Machine Learning (ML): Helps computers learn from data and make predictions without direct programming; powers recommendation systems like those on Netflix or Amazon. For example, a weather app predicts rainfall using past climate data.

Data Science 52

Data Science Analytics Analytics Machine Learning 52

Data Science Blog

OCTOBER 20, 2024

And since the business world is evolving quickly, newer methods such as double Machine Learning or causal forest models that are discussed in the marketing literature (e.g. Langen & Huber 2023) in combination with eXplainable Artificial Intelligence (XAI) can also be applied as well in the DATANOMIQ Machine Learning and AI framework.

Machine Learning 130

Machine Learning Machine Learning Deep Learning Deep Learning 130

Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. and ‘‘What is the difference between Data Intelligence and Artificial Intelligence ?’. Look at the table below. 12,00000 Programming (e.g.,

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

ODSC - Open Data Science

MARCH 28, 2023

For example, Apple tries to balance many simple predictive analytics solutions (spreadsheets and regression) with a handful of moonshot ideas. Successful AI builders are approaching AI with a portfolio mindset.

Data Science 52

Data Science AI AI ML 52

Pickl AI

OCTOBER 10, 2024

Inconsistent or unstructured data can lead to faulty insights, so transformation helps standardise data, ensuring it aligns with the requirements of Analytics, Machine Learning , or Business Intelligence tools. This makes drawing actionable insights, spotting patterns, and making data-driven decisions easier.

Data Quality 52

Data Quality AWS Machine Learning Machine Learning 52

IBM Journey to AI blog

JULY 11, 2023

They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics that enable faster decision making and insights. Data warehouses are a critical component of any organization’s technology ecosystem.

Data Warehouse 60

Data Warehouse Database Cloud Data Big Data 60

IBM Journey to AI blog

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

AI 90

AI AI Machine Learning Machine Learning 90

IBM Journey to AI blog

SEPTEMBER 11, 2023

Don Haderle, a retired IBM Fellow and considered to be the “father of Db2,” viewed 1988 as a seminal point in its development as D B2 version 2 proved it was viable for online transactional processing (OLTP)—the lifeblood of business computing at the time. Db2 (LUW) was born in 1993, and 2023 marks its 30th anniversary.

Database 101

Database SQL Data Warehouse Machine Learning 101

Pickl AI

JANUARY 9, 2025

Technical Skills In todays data-centric landscape, proficiency in advanced analytics tools and software is crucial for an Operations Analyst. Expertise in programs like Microsoft Excel, SQL , and business intelligence (BI) tools like Power BI or Tableau allows analysts to process and visualise data efficiently.

Power BI 52

Power BI Machine Learning Machine Learning Tableau 52

Pickl AI

DECEMBER 10, 2024

Exalytics: The In-Memory Analytics Machine Oracle Exalytics is a pioneering solution for in-memory analytics and business intelligence. By leveraging cutting-edge hardware and software integration, Exalytics enables businesses to analyse large datasets in real-time.

Database 52

Database Analytics Analytics Business Intelligence 52